Background: The global impact of COVID-19 pandemic continues to affect the lives of billions of people with recurrent waves. Healthcare systems are struggling to manage pre-existing patient care and recurring covid-19 demands. As a result, we evaluated the mental health impact using systematic review and meta-analysis. Methods: A comprehensive search was undertaken from April 2020 to 22nd January 2021 using multiple electronic databases. A systematic review protocol was developed and published on PROSPERO registration; CRD42020181481. A random-effects model was used to compute pooled estimates of anxiety, depression, PTSD, insomnia and suicidal thoughts. Findings: Our search yielded 11,295 studies and of those 287 met the inclusion criteria. The meta-analysis of 206 studies revealed minimal differences in prevalence of anxiety, depression, and PTSD among HCPs compared with the public during the pandemic but higher prevalence of suicidal thoughts/ideation or self-harm (11% vs 5.8%) and lower prevalence of wellbeing (28.2% vs 52.6%) among the public compared to HCPs. Interpretation: The pandemic has led to a high mental health burden especially amongst HCPs and higher suicidal ideation and lower wellbeing in general public which warrants further investigation and management globally. These findings highlight an emerging critical public health issue that requires urgent solutions.
Previous research shows that autistic people have high levels of co-occurring mental health conditions. Yet, a number of case reports have revealed that mental health conditions are often misdiagnosed in autistic individuals. A total of 420 adults who identified as autistic, possibly autistic or non-autistic completed an online survey consisting of questions regarding mental health diagnoses they received, whether they agreed with those diagnoses and if not why. Autistic and possibly autistic participants were more likely to report receiving mental health diagnoses compared to non-autistic participants, but were less likely to agree with those diagnoses. Thematic analysis revealed the participants’ main reasons for disagreement were that (1) they felt their autism characteristics were being confused with mental health conditions by healthcare professionals and (2) they perceived their own mental health difficulties to be resultant of ASC. Participants attributed these to the clinical barriers they experienced, including healthcare professionals’ lack of autism awareness and lack of communication, which in turn prevented them from receiving appropriate support. This study highlights the need for autism awareness training for healthcare professionals and the need to develop tools and interventions to accurately diagnose and effectively treat mental health conditions in autistic individuals.
Previous research has suggested that individuals with Autism Spectrum Disorders (ASD) have difficulties understanding others communicative intent and with using contextual information to correctly interpret irony. We recorded the eye movements of typically developing (TD) adults ASD adults when they read statements that could either be interpreted as ironic or non-ironic depending on the context of the passage. Participants with ASD performed as well as TD controls in their comprehension accuracy for speaker's statements in both ironic and non-ironic conditions. Eye movement data showed that for both participant groups, total reading times were longer for the critical region containing the speaker's statement and a subsequent sentence restating the context in the ironic condition compared to the non-ironic condition. The results suggest that more effortful processing is required in both ASD and TD participants for ironic compared with literal non-ironic statements, and that individuals with ASD were able to use contextual information to infer a non-literal interpretation of ironic text. Individuals with ASD, however, spent more time overall than TD controls rereading the passages, to a similar degree across both ironic and non-ironic conditions, suggesting that they either take longer to construct a coherent discourse representation of the text, or that they take longer to make the decision that their representation of the text is reasonable based on their knowledge of the world.
Background Autism and autistic traits are risk factors for suicidal behaviour. Aims To explore the prevalence of autism (diagnosed and undiagnosed) in those who died by suicide, and identify risk factors for suicide in this group. Method Stage 1: 372 coroners’ inquest records, covering the period 1 January 2014 to 31 December 2017 from two regions of England, were analysed for evidence that the person who died had diagnosed autism or undiagnosed possible autism (elevated autistic traits), and identified risk markers. Stage 2: 29 follow-up interviews with the next of kin of those who died gathered further evidence of autism and autistic traits using validated autism screening and diagnostic tools. Results Stage 1: evidence of autism (10.8%) was significantly higher in those who died by suicide than the 1.1% prevalence expected in the UK general alive population (odds ratio (OR) = 11.08, 95% CI 3.92–31.31). Stage 2: 5 (17.2%) of the follow-up sample had evidence of autism identified from the coroners’ records in stage 1. We identified evidence of undiagnosed possible autism in an additional 7 (24.1%) individuals, giving a total of 12 (41.4%); significantly higher than expected in the general alive population (1.1%) (OR = 19.76, 95% CI 2.36–165.84). Characteristics of those who died were largely similar regardless of evidence of autism, with groups experiencing a comparably high number of multiple risk markers before they died. Conclusions Elevated autistic traits are significantly over-represented in those who die by suicide.
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